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    • Statistical Inference

    Statistical Inference Courses Online

    Study statistical inference for drawing conclusions from data. Learn about estimation, hypothesis testing, and confidence intervals.

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    Explore the Statistical Inference Course Catalog

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Social Network Analysis

      Skills you'll gain: Network Analysis, Data Wrangling, Social Sciences, Graph Theory, Statistical Visualization, Data Visualization Software, Predictive Analytics, Scientific Methods, Simulations

      4.7
      Rating, 4.7 out of 5 stars
      ·
      237 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Data Collection: Online, Telephone and Face-to-face

      Skills you'll gain: Surveys, Interviewing Skills, Data Collection, Sampling (Statistics), Unstructured Data, Research Methodologies, Data Capture, Qualitative Research, Data Validation, Data Quality

      4.6
      Rating, 4.6 out of 5 stars
      ·
      346 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Getting Started with Rstudio

      Skills you'll gain: Interactive Data Visualization, Data Visualization, Software Installation, Package and Software Management, R Programming, Integrated Development Environments, Cloud Development, Cloud Hosting

      4.6
      Rating, 4.6 out of 5 stars
      ·
      142 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      Universidad Nacional Autónoma de México

      Evaluación de inversiones en Bienes de Capital

      Skills you'll gain: Capital Budgeting, Financial Analysis, Business Valuation, Financial Management, Financial Modeling, Investment Management, Return On Investment, Financial Forecasting, Finance, Cost Benefit Analysis, Financial Statements, Risk Analysis, Cash Flows

      4.2
      Rating, 4.2 out of 5 stars
      ·
      455 reviews

      Intermediate · Course · 1 - 3 Months

    • N

      Northeastern University

      Healthcare Analytics Essentials

      Skills you'll gain: Health Informatics, Business Analytics, Analytics, Patient Safety, Health Care, Health Administration, Healthcare Industry Knowledge, Statistical Analysis, Business Intelligence, Quantitative Research, Performance Measurement, Performance Metric, Data Analysis, Data-Driven Decision-Making, Descriptive Analytics, Peer Review, Data Collection

      4.6
      Rating, 4.6 out of 5 stars
      ·
      33 reviews

      Beginner · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      IA Para Todos (Português)

      Skills you'll gain: Business Strategy, Market Opportunities, Artificial Intelligence, Data Ethics, Strategic Thinking, Applied Machine Learning, Data Science, Machine Learning, Artificial Neural Networks, Deep Learning, Business Transformation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      19 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Meta

      Introduction to Data Management

      Skills you'll gain: Data Management, Data Collection, Data Governance, Data Analysis, Information Privacy, Data Quality, Data Storage, Data Security, Data-Driven Decision-Making, Data Architecture, Data Visualization Software, Big Data, Machine Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      95 reviews

      Beginner · Course · 1 - 4 Weeks

    • T

      The State University of New York

      Big Data, Genes, and Medicine

      Skills you'll gain: Data Visualization, Bioinformatics, Big Data, Analytics, Health Informatics, Medical Science and Research, Data Processing, R Programming, Predictive Modeling, Statistical Analysis, Molecular Biology, Feature Engineering, Unsupervised Learning

      4.3
      Rating, 4.3 out of 5 stars
      ·
      284 reviews

      Advanced · Course · 1 - 3 Months

    • Status: New
      New
      M

      Macquarie University

      Excel Skills for Statistics and Data Analysis: Essentials

      Skills you'll gain: Statistical Hypothesis Testing, Microsoft Excel, Statistical Inference, Descriptive Statistics, Data Analysis, Statistical Methods, Statistical Analysis, Probability & Statistics, Spreadsheet Software, Box Plots, Probability Distribution, Statistical Visualization, Histogram

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      SAS

      SAS Macro Language

      Skills you'll gain: SAS (Software), Program Development, Scripting, Data Processing, Automation, Statistical Programming, Data Manipulation, Debugging, Data Validation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      148 reviews

      Intermediate · Course · 1 - 3 Months

    • T

      Tecnológico de Monterrey

      Inteligencia Artificial centrada en el ser humano

      Skills you'll gain: Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Human Factors, Automation, Human Machine Interfaces, Agentic systems, Machine Learning, Human Computer Interaction, Human Centered Design, Ethical Standards And Conduct

      4.7
      Rating, 4.7 out of 5 stars
      ·
      112 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Intel

      Intel® AI Fundamentals

      Skills you'll gain: Artificial Intelligence, Business Technologies, Complex Problem Solving, Digital Transformation, Technology Strategies, Artificial Intelligence and Machine Learning (AI/ML), Business Intelligence, Strategic Thinking, Real Time Data, Solution Sales Engineering, Technology Solutions, Generative AI, Emerging Technologies, Automation, Customer Success Management, Deep Learning, Machine Learning, Hardware Architecture, Computer Hardware, Data Analysis

      4.1
      Rating, 4.1 out of 5 stars
      ·
      71 reviews

      Beginner · Specialization · 1 - 4 Weeks

    Statistical Inference learners also search

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    In summary, here are 10 of our most popular statistical inference courses

    • Social Network Analysis: University of California, Davis
    • Data Collection: Online, Telephone and Face-to-face: University of Michigan
    • Getting Started with Rstudio: Coursera Project Network
    • Evaluación de inversiones en Bienes de Capital : Universidad Nacional Autónoma de México
    • Healthcare Analytics Essentials : Northeastern University
    • IA Para Todos (Português): DeepLearning.AI
    • Introduction to Data Management: Meta
    • Big Data, Genes, and Medicine: The State University of New York
    • Excel Skills for Statistics and Data Analysis: Essentials: Macquarie University
    • SAS Macro Language: SAS

    Skills you can learn in Probability And Statistics

    R Programming (19)
    Inference (16)
    Linear Regression (12)
    Statistical Analysis (12)
    Statistical Inference (11)
    Regression Analysis (10)
    Biostatistics (9)
    Bayesian (7)
    Logistic Regression (7)
    Probability Distribution (7)
    Bayesian Statistics (6)
    Medical Statistics (6)

    Frequently Asked Questions about Statistical Inference

    Statistical inference is the process whereby you can draw conclusions about a population based on random samples of that population and the statistics that you draw from those samples. When you rely on statistical inference, you take what you've observed about your samples of that population and apply them to the group as a whole. Applying statistical inference allows you to take what you know about the population as well as what's uncertain to make statements about the entire population based on your analysis.‎

    If you want to learn about a certain population—whether they're customers or fellow employees—you can use statistical inference to draw conclusions about that population based on your analysis of data about them. You can't always survey or test an entire population to gain insight, but you can sample the population and make educated assumptions based on the data. Understanding statistical inference allows you to take that data and use it to draw conclusions that make sense and prove true.‎

    Statistical inference has plenty of benefits for different business sectors. Statisticians and data analysts use this method often to draw conclusions based on samples of populations. If you're in sales or product development, you can use statistical inference to determine which brands or products are popular with your customers or clients. Scientists use statistical inference to test hypotheses and draw conclusions when it's impossible for them to test or sample an entire population. You can apply statistical inference to analyze the data from surveys of any population that you sample.‎

    Online courses on Coursera give you both a grasp of the concepts of statistical inference and practical applications. You'll learn from the best instructors in the academic world, and you can learn at a pace and schedule that best suits your schedule and lifestyle. When you finish our courses, you'll know how to use statistical inference in your career, which will give you an advantage whether you're trying to get better at your current job or whether you're looking to make a career change.‎

    Online Statistical Inference courses offer a convenient and flexible way to enhance your knowledge or learn new Statistical Inference skills. Choose from a wide range of Statistical Inference courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Statistical Inference, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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